TDWI Best Practices Report: Mobile Business Intelligence and Analytics

Mobile Business Intelligence and Analytics: Extending Insight to a Mobile Workforce: Download

Excitement is growing among business users about how they could use mobile devices to transform the role of information in customer interactions, performance management, planning and forecasting, and their daily operational decisions while on the go. This report examines the impact of mobile computing on the development, management, and implementation of applications and services for business intelligence and analytics.

File Type: .pdf File Size: 2.8 MB Duration: 36 pages


 

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Best Practices Report | Operationalizing and Embedding Analytics for Action: Asset

Download this report for recommendations and best practices for successfully operationalizing analytics in your organization to derive business value.


Infographic // Operationalizing and Embedding Analytics for Action: Download

Forward-looking organizations are beginning to take action on their data by systematically operationalizing and embedding their analytics—that is, integrating actionable insights into systems and business processes used to make decisions. In the recent TDWI Best Practices Report Operationalizing and Embedding Analytics for Action, we explore current strategies, challenges, and future trends for embedded analytics across both organizational and technical dimensions. Here are several of the key survey results.


TDWI Checklist Report // Adopting Next-Generation Data Technologies: Download

Tools from new vendors incorporating new big data technologies (such as Hadoop) for distributed and parallel computing and NoSQL data management are rapidly being evaluated and brought into organizations. At the same time, numerous vendors of traditional platforms are offering the same or similar new technologies that are more robust and have more enterprise-ready capabilities than the new technologies can provide. This Checklist Report offers several important items to consider for your data management infrastructure, whether your implementation is on-premises, in the cloud, or a hybrid.